SOTAVerified

Program Synthesis

Program synthesis is the process of automatically generating a program or code snippet that satisfies a given specification or set of requirements. This can include generating code from a formal specification, a natural language description, or example inputs and outputs. The primary goal of program synthesis is to minimize human intervention in the coding process, reduce errors, and improve productivity.

Program synthesis often involves the use of advanced algorithms, artificial intelligence, and machine learning techniques to search the space of possible programs that meet the given constraints. This process can be guided by a variety of techniques, such as constraint solving, symbolic execution, and genetic algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 423 papers

TitleStatusHype
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram ArchivesCode0
Limits of an AI program for solving college math problems—0
CORNET: Learning Table Formatting Rules By Example—0
Learning programs with magic valuesCode1
PanGu-Coder: Program Synthesis with Function-Level Language ModelingCode0
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningCode2
GitHub Copilot AI pair programmer: Asset or Liability?Code0
From Perception to Programs: Regularize, Overparameterize, and Amortize—0
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams—0
Functional Code Building Genetic Programming—0
Learning logic programs by combining programsCode0
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase SelectionCode0
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct SolutionsCode1
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis—0
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis—0
AutoTSG: Learning and Synthesis for Incident Troubleshooting—0
Autoformalization with Large Language Models—0
Transformer-based Program Synthesis for Low-Data EnvironmentsCode0
Neural Program Synthesis with Query—0
From Solution Synthesis to Student Attempt Synthesis for Block-Based Visual Programming TasksCode0
Example-based Synthesis of Static Analysis Rules—0
What If: Generating Code to Answer Simulation QuestionsCode0
Population Diversity Leads to Short Running Times of Lexicase Selection—0
InCoder: A Generative Model for Code Infilling and SynthesisCode2
Landmarks and Regions: A Robust Approach to Data Extraction—0
Show:102550
← PrevPage 9 of 17Next →
All datasetsSPoC TestPSPoC TestWAlgoLisp

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DrRepairSuccess rate @budget 10038.5—Unverified
2Multiclass localizerSuccess rate @budget 10034.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DrRepairSuccess rate @budget 10057—Unverified
2Multiclass localizerSuccess rate @budget 10053.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeTrans-MT-TF-SmallAccuracy90.31—Unverified